Attaullah Shah
Moderator
Post count: 70

I have added gologit2 to asdocx. Since the output of the gologit2 comprises of three groups of estimates, asdocx add the group name as a prefix, that is fair, average, good. See this example

*Update asdocx
asdocx_update

* Use example data
webuse fullauto

*Add three nested models
asdocx gologit2 rep77 i.foreign length mpg, replace nest
asdocx gologit2 rep77 i.foreign length mpg trunk ,  nest
asdocx gologit2 rep77 i.foreign  mpg trunk ,  nest 
Table: Regression results
(1) (2) (3)
rep77 rep77 rep77
0bn.foreign
1.foreign 3.07 167.059 -1.596
(7.081) (38570.529) (1.601)
length 0.447 17.56
(0.316) (3337.642)
mpg 0.505 24.289 -0.444
(0.851) (7408.473) (0.45)
trunk -23.61 -0.097
(3518.731) (0.281)
Intercept -89.731 -3524.318 13.323
(63.983) (744600.61) (12.56)
Fair:0bn.foreign
Fair:1.foreign 2.42* 1.861 1.213
(1.346) (1.341) (0.904)
Fair:length 0.054 0.028
(0.042) (0.051)
Fair:mpg 0.26 0.279 0.224**
(0.159) (0.176) (0.113)
Fair:trunk 0.108 0.182*
(0.134) (0.107)
Fair:Intercept -14.632 -11.379 -5.968*
(11.076) (12.276) (3.335)
Average:0bn.foreign
Average:1.foreign 3.569*** 3.37*** 1.524**
(1.077) (1.09) (0.728)
Average:length 0.123*** 0.122***
(0.039) (0.043)
Average:mpg 0.358*** 0.372*** 0.094
(0.132) (0.137) (0.059)
Average:trunk 0.005 0.177*
(0.118) (0.092)
Average:Intercept -32.637*** -32.861*** -5.5**
(10.241) (10.664) (2.27)
Good:0bn.foreign
Good:1.foreign 19.883 24.247 20.503
(1501.655) (7320.255) (2304.349)
Good:length 0.058 0.038
(0.057) (0.069)
Good:mpg 0.001 -0.032 -0.053
(0.12) (0.125) (0.085)
Good:trunk 0.197 0.241
(0.217) (0.205)
Good:Intercept -30.528 -32.583 -22.73
(1501.716) (7320.271) (2304.351)
Observations 66 66 66
Pseudo R2 0.276 0.329 0.154